Triplet Analysis That Identifies Unpaired Regions of Functional RNAs
Author(s) -
Junji Kawakami,
Yoshie Yamaguchi,
Naoki Sugimoto
Publication year - 2011
Publication title -
journal of nucleic acids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.621
H-Index - 32
eISSN - 2090-021X
pISSN - 2090-0201
DOI - 10.4061/2011/471843
Subject(s) - aptamer , rna , computational biology , nucleic acid , sequence (biology) , selection (genetic algorithm) , nucleic acid structure , biology , ribozyme , function (biology) , computer science , sequence analysis , bioinformatics , genetics , artificial intelligence , dna , gene
We developed a novel method for analyzing RNA sequences, deemed triplet analysis, and applied the method in an in vitro RNA selection experiment in which HIV-1 Tat was the target. Aptamers are nucleic acids that bind a desired target (bait), and to date, many aptamers have been identified by in vitro selection from enough concentrated libraries in which many RNAs had an obvious consensus primary sequence after sufficient cycles of the selection. Therefore, the higher-order structural features of the aptamers that are indispensable for interaction with the bait must be determined by additional investigation of the aptamers. In contrast, our triplet analysis enabled us to extract important information on functional primary and secondary structure from minimally concentrated RNA libraries. As a result, by using our method, an important unpaired region that is similar to the bulge of TAR was readily predicted from a partially concentrated library in which no consensus sequence was revealed by a conventional sequence analysis. Moreover, our analysis method may be used to assess a variety of structural motifs with desired function
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